Optimization of Ensemble Supervised Learning Algorithms for Increased Sensitivity, Specificity, and AUC of Population-Based Colorectal Cancer Screenings.
Anirudh KamathAditya SinghRaj RamnaniAyush VyasJay ShenoyPublished in: CoRR (2017)
Keyphrases
- supervised learning algorithms
- learning algorithm
- colorectal cancer
- supervised learning
- feature selection
- machine learning algorithms
- particle swarm optimization
- semi supervised learning
- training set
- optimization algorithm
- classification accuracy
- neural network
- differential evolution
- logistic regression
- model selection
- machine learning
- decision trees
- training data
- data sets
- binary classification problems
- base learners
- ensemble methods
- pairwise
- unlabeled data
- semi supervised
- labeled data
- benchmark datasets
- learning problems
- random forest
- ensemble learning
- prior knowledge